|本期目录/Table of Contents|

[1]王 楚,丁瑞力*,陈 蜜,等.京沪高速公路北京—天津段地面沉降时序InSAR监测与影响因素[J].地球科学与环境学报,2024,46(02):269-284.[doi:10.19814/j.jese.2023.08007]
　WANG Chu,DING Rui-li*,CHEN Mi,et al.Time Series InSAR Monitoring and Influencing Factors of Land Subsidence Along the Beijing-Tianjin Section of Beijing-Shanghai Expressway, China[J].Journal of Earth Sciences and Environment,2024,46(02):269-284.[doi:10.19814/j.jese.2023.08007]
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京沪高速公路北京—天津段地面沉降时序InSAR监测与影响因素(PDF)
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《地球科学与环境学报》[ISSN:1672-6561/CN:61-1423/P]

卷:
第46卷
期数:
2024年第02期
页码:
269-284
栏目:
大地测量、遥感与地学大数据
出版日期:
2024-04-10

文章信息/Info

Title:
Time Series InSAR Monitoring and Influencing Factors of Land Subsidence Along the Beijing-Tianjin Section of Beijing-Shanghai Expressway, China
文章编号:
1672-6561(2024)02-0269-16
作者:
王 楚1; 2; 3; 丁瑞力1; 2; 3; 4; 5*; 陈 蜜1; 2; 3; 张丹丹6; 葛鹏飞1; 2; 3; 成 曦1; 2; 3; 范凯伦1; 2; 3
(1. 首都师范大学 资源环境与旅游学院,北京 100048; 2. 首都师范大学 城市环境过程与数字模拟国家重点实验室培育基地,北京 100048; 3. 首都师范大学 水资源安全北京实验室,北京 100048; 4. 自然资源部矿业城市自然资源调查监测与保护重点实验室,山西 晋中 030600; 5. 山西省煤炭地质物探测绘院有限公司 资源环境与灾害监测山西省重点实验室,山西 晋中 030600; 6. 自然资源部国土卫星遥感应用中心,北京 100048)
Author(s):
WANG Chu1; 2; 3;  DING Rui-li1; 2; 3; 4; 5*;  CHEN Mi1; 2; 3;  ZHANG Dan-dan6;  GE Peng-fei1; 2; 3;  CHENG Xi1; 2; 3;  FAN Kai-lun1; 2; 3
(1. College of Resource Environment and Tourism, Capital Normal University, Beijing 100048, China; 2.Base of the State Key Laboratory of Urban Environmental Process and Digital Modelling, Capital Normal University, Beijing 100048, China; 3. Beijing Laboratory of Water Resources Security, Capital Normal University, Beijing 100048, China; 4. Key Laboratory of Monitoring and Protection of Natural Resources in Mining Cities, Ministry of Natural Resources, Jinzhong 030600, Shanxi, China; 5. Shanxi Provincial Key Lab of Resources, Environment and Disaster Monitoring, Coal Geological Geophysical Exploration Surveying & Mapping Institute of Shanxi Province, Jinzhong 030600, Shanxi, China; 6. Land Satellite Remote Sensing Application Center, Ministry of Natural Resources, Beijing 100048, China)
关键词:
地面沉降;  SBAS-InSAR技术;  时序分析;  地理加权回归模型;  影响因素;  京沪高速公路
Keywords:
land subsidence;  SBAS-InSAR technology;  time series analysis;  GWR model;  impact factor;  Beijing-Shanghai expressway
分类号:
P237; P642.26
DOI:
10.19814/j.jese.2023.08007
文献标志码:
A
摘要:
地面沉降作为平原区主要的地质灾害之一,对高速公路安全运行产生了潜在的影响。为了探究京沪高速公路北京—天津段的地面沉降情况,选取2017年1月至2020年3月70景Sentinel-1B卫星影像,利用SBAS-InSAR技术对该路段沿线地面沉降展开监测,并采用外部水准观测方法对InSAR监测结果进行精度评定; 在此基础上,结合3类9个影响因子数据对沿线地面沉降进行空间模拟,通过对比普通最小二乘(OLS)模型、地理加权回归(GWR)模型和多尺度地理加权回归(MGWR)模型的模拟效果,最后选取相对最优模型对各种影响因子进行量化研究。结果表明:京沪高速公路北京—天津段表现出不均匀沉降特征,最大年均沉降速率超过-90 mm?年-1; 研究区主要分布有6个明显的沉降中心,京沪高速公路北京—天津段经过其中3个; 采用模拟效果相对最优的多尺度地理加权回归模型进行定量分析可知,第四系沉积厚度和地下水位变化对沉降的影响较大,而地形环境因子的影响较小。
Abstract:
Land subsidence, as one of the main geological hazards in the plain area, has a potential impact on the safe operation of the expressway. In order to explore the land subsidence of the Beijing-Tianjin section of Beijing-Shanghai expressway, 70 Sentinel-1B satellite images from January 2017 to March 2020 were selected, and SBAS-InSAR technology was used to monitor the land subsidence along the section. The accuracy of InSAR monitoring result was evaluated by external level observation. On this basis, nine factors were divided into three categories to conduct spatial simulation of the settlement amount. By comparing the simulation effects of OLS, GWR and MGWR models, the relative optimal model was selected to conduct quantitative research on various influencing factors. The results show that the Beijing-Tianjin section of Beijing-Shanghai expressway exhibits uneven settlement characteristics, with a maximum annual sedimentation rate exceeding -90 mm?a-1. There are mainly six obvious severe settlement centers distributed in the study area, with three of them passing through by Beijing-Shanghai expressway. The quantitative analysis of MGWR model, which has the best simulation effect, shows that the deposition thickness of Quaternary system and groundwater level changes have greater influence on the settlement, while the topographical environmental factors have less influence.

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备注/Memo

备注/Memo:
收稿日期:2023-08-04; 修回日期:2023-12-05
基金项目:国家重点研发计划项目(2017YFB0503803); 国家自然科学基金项目(41201419,U2344225); 教育部产学合作协同育人项目(220902313270248)
作者简介:王 楚(1998-),女,河北石家庄人,理学硕士研究生,E-mail:wangchu_student@163.com。
*通信作者:丁瑞力(1997-),女,山西侯马人,山西省煤炭地质物探测绘院有限公司助理工程师,E-mail:18735120806@163.com。
通信作者:陈 蜜(1978-),女,广西南宁人,副教授,工学博士,E-mail:mierc@163.com。
更新日期/Last Update: 2024-04-10